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February 2025

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[Call for Abstracts] Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact (March 6-7, 2025, Lugano – Switzerland)
by c.natali6@campus.unimib.it 06 Feb '25

06 Feb '25
(Apologies if you receive multiple copies of this call) -------------------------------------------------- CALL FOR ABSTRACTS Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact March 6-7, 2025, Lugano, Switzerland (in-person) -------------------------------------------------- The B4EAI team (Best 4 Ethical AI) invites abstracts for the Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact (March 6-7, 2025, Lugano – Switzerland), a two-day event focused on addressing critical questions about the ethically and socially responsible design and deployment of AI systems. This workshop seeks to advance human-centred design principles and participatory approaches in AI development and contribute to the responsible adoption of these technologies.  Our workshop features a distinguished lineup of keynote speakers, including (in alphabetical order): - Federico Cabitza (University of Milano-Bicocca, IT): "Measuring Social Impact in AI Systems"  - Cristina Conati (University of British Columbia, CAN): "Community Perspectives in AI Research" - Marcello Ienca (Technical University of Munich, DE): "Policy Perspectives on AI Governance" - Caterina Moruzzi (Edinburgh University, UK): "Future Directions in Human-Centered AI" - Elisa Rubegni (Lancaster University, UK): "Human-Centred Design Principles in AI Development" - Niels van Berkel (Aalborg University, DK): "Successful Case Studies in Human-Centred AI"  The programme includes dedicated panel sessions on the topics of "Bridging Technical Innovation and Social Impact", "Ethical Considerations in AI Development", "Implementation Challenges and Solutions" and "Shaping the Future of Human-Centred AI".  Finally, a session will be dedicated to spot presentations (10 minutes) by participants that would like to present their own research.   **Submission Guidelines**  For the spot presentations session, we welcome short abstracts addressing, but not limited to, the following topics: - How can we design AI systems that meaningfully incorporate diverse human perspectives and needs throughout their development cycle?  - What methodological frameworks can bridge the gap between technical AI capabilities and real-world social challenges?   - How do we measure and evaluate the social impact of AI systems beyond traditional technical metrics?  - What are effective approaches for participatory design in AI development, particularly when working with marginalised or vulnerable communities?  - How can we ensure AI systems remain accountable to their intended social benefits throughout their lifecycle?  We invite the submission of abstracts for the meeting from early career scholars (students, postdoctoral researchers, and junior faculty). Abstracts should be up to 250 words long (excluded references) and they should include name, affiliation, and title in one .pdf file.   Abstracts should be submitted by February 21 to: b4eai.info(a)gmail.com   **Important Dates** Submission Deadline: February 21, 2025 AoE  Notification of Acceptance: February 24, 2025  Workshop Dates: March 6-7, 2025, Lugano – Switzerland   Location: Dalle Molle Institute for Artificial Intelligence, Campus Universitario USI/SUPSI (Via la Santa 1, 6962 Viganello) For further details, please contact alessandro.facchini(a)supsi.ch    ** We are committed to fostering diversity and equality. Submissions from underrepresented groups are particularly welcome. **
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ATNU Virtual Speaker Series - Hannah Busch - "Matching Medieval Manuscripts with Machine Learning" - 2025-02-19
by James Cummings 04 Feb '25

04 Feb '25
[Please Forward] === https://research.ncl.ac.uk/atnu/news/atnuvirtualspeakerseries-hannahbusch-2… Our next speaker in the ATNU Virtual Speaker Series is Hannah Busch from the CCeH at the University of Cologne who will talk to us about "Matching Medieval Manuscripts with Machine Learning". Join us on Wednesday 19 February 2025 at 4pm UK time. (We will send the zoom link to all registered attendees shortly before the event.) "Matching Medieval Manuscripts with Machine Learning" Hannah Busch (University of Cologne) Wednesday 19 February 2025 4pm (GMT) (8am PT, 11am ET) Abstract: Large-scale digitization projects of the past twenty years and the possibility of exploitation with the help of the International Image Interoperability Framework (IIIF) have substantially contributed to reaching a critical mass which allows the application of deep learning for the study of medieval book scripts. In the past years, not only the number of digitized medieval sources increased significantly, but also the quality of the image data. Parallel to this development, the computation of images is becoming more powerful, and—more importantly—affordable. During my presentation I am going to talk about the possibilities of dating and localizing the origin of medieval Latin manuscripts with the help of Deep Machine Learning/Artificial Intelligence. I will be giving insights in how to approach such an undertaking of building an image similarity search based on palaeographical features of medieval Latin scripts. In particular, I’ll be focusing on the reuse of existing scholarly manuscript descriptions for the training of Artificial Neural Networks and the challenges that come with relying on those new technologies. How is the palaeographic information encoded in descriptive metadata? Can manuscript metadata be read and processed by the machine? Can it be used to teach Artificial Neural Networks which manuscript samples are similar by means of Latin palaeography? To conclude my presentation, I’d like to discuss how we can build a bridge between the output of the artificial palaeographic eye and the human readable descriptive metadata. Bio: Hannah Busch studied German-Italian Studies (BA) and Textual Scholarship (MA) in Bonn, Florence, and Berlin. She worked as a research associate at the Trier Center for Digital Humanities, and as a PhD candidate within the project “Digital Forensics for Historical Documents” at the Huygens Instituut (KNAW) in Amsterdam and at Leiden University. In her doctoral thesis, she is working on the application of deep machine learning methods for the dating and localization of medieval Latin manuscripts. Her research interests also lie in various areas of digital medieval studies, in particular the (mass) digitization of medieval written documents and experimentation with computer-aided methods for manuscript research. Since June 2023, Hannah is a research associate at the Cologne Center for eHumanities (CCeH) within the academy project Formation of Europe. === If you missed our previous talks you can see recordings of them at: https://research.ncl.ac.uk/atnu/speakers/
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